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Magna Legal Services

AI Architect

Reposted 23 Days Ago
Remote
Hiring Remotely in USA
175K-200K Annually
Senior level
Remote
Hiring Remotely in USA
175K-200K Annually
Senior level
The AI Architect leads AI strategy and implementation, designing systems, managing teams, and driving business value through AI solutions in legal services.
The summary above was generated by AI
About Us:
 
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, we can provide strategic advantages to our clients by offering legal support services at every stage of their legal proceedings.

Job Description:
 
Job Title: AI Architect
 
Position Summary:
 
Magna Legal Services is seeking an AI Architect to join our team. The AI Architect is a senior technical and strategic leader responsible for driving Magna’s AI vision from concept to commercialization. This role blends deep technical expertise with product strategy, business partnership, and organizational leadership.
 
You will design and implement AI systems, lead development teams, guide enterprise AI architecture, and partner closely with executives and business stakeholders to identify opportunities, drive adoption, and deliver measurable value. The ideal candidate brings real-world experience deploying AI solutions at scale, with a strong understanding of both technical execution and business impact.
 
Experience in legal services, litigation support, medical records, insurance, or adjacent regulated industries is a significant plus.

Key Responsibilites

  • AI Strategy & Architecture
  • Define and own Magna’s AI systems architecture, including model selection, data infrastructure, orchestration, and deployment pipelines.
  • Lead the design of scalable, secure, compliant AI solutions across the organization.
  • Establish development standards, MLOps best practices, and governance frameworks for responsible AI.
  • Hands-On Technical Leadership
  • Architect, prototype, and deliver AI/ML applications — including summarization tools, document processing systems, scheduling automation, and proprietary medical/legal analysis products.
  • Oversee model fine-tuning, prompt engineering, data pipelines, evaluation frameworks, and performance monitoring.
  • Review and guide technical work across the AI engineering team.
  • Business Partnership & Stakeholder Management
  • Collaborate with executives, sales leaders, operations, and product teams to identify high-value AI opportunities.
  • Translate business challenges into technical solutions with clear ROI and measurable outcomes.
  • Communicate complex AI concepts in clear, accessible terms to non-technical stakeholders.
  • Drive cross-departmental adoption of AI systems through training, change management, and solution evangelism.
  • Team Leadership
  • Manage, mentor, and grow an AI engineering team, providing career development, technical guidance, and performance oversight.
  • Promote a culture of experimentation, accountability, and continuous learning.
  • Collaborate with engineering, product, and data teams to ensure coordinated delivery.
  • Execution & Delivery
  • Lead end-to-end lifecycle of AI products, from ideation and scoping through deployment and iteration.
  • Ensure solutions meet enterprise standards for security, data integrity, and privacy (HIPAA, PHI, PII, etc., as applicable).
  • Measure business impact, track adoption, and ensure systems perform reliably at production scale.

Qualifications

  • 8+ years of professional experience in AI/ML engineering, data science, or software architecture roles.
  • Proven track record designing, deploying, and maintaining AI products in real-world production environments.
  • Strong hands-on experience with modern AI stacks (LLMs, vector databases, embedding systems, orchestration frameworks, MLOps).
  • Deep knowledge of cloud platforms (AWS, Azure, or GCP) and containerized environments.
  • Experience leading engineering teams or technical programs.
  • Ability to work closely with executives to shape strategy and communicate technical concepts clearly.
  • Strong understanding of data governance, compliance, and security in regulated or sensitive data environments.

Preferred Qualifications

  • Experience in legal tech, medical informatics, claims processing, or litigation support industries.
  • Expertise in NLP, RAG systems, document analysis, entity extraction, or workflow automation.
  • Knowledge of HIPAA, ABA rules, PHI handling, or other relevant compliance frameworks.
  • Demonstrated success driving organization-wide adoption of AI solutions.
  • Experience building AI products for external customers or marketplace deployment.

What We Offer

  • A strategic role shaping the future of AI innovation at Magna Legal Services.
  • Direct partnership with the CTO and senior leadership.
  • Opportunity to lead cutting-edge development in legal and medical technology.
  • Competitive compensation, benefits, and growth opportunities.

Compensation: USD $175,000 - $200,000 per year.

An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of the total compensation package for employees.

Magna Legal Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Top Skills

AI
AWS
Azure
Embedding Systems
GCP
Llms
Ml
Mlops
Orchestration Frameworks
Vector Databases

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